Push the development of big data to the next new stage

2020-05-13

Zhang Hancheng: Pushing the development of big data to the next new stage

The author believes that the development of big data will generally go through three stages: one, the dataization of the business; two, the dataization of the business; and three, the intelligence of the business. In 2018 , through the construction of big data in recent years, local governments and enterprises have basically completed the first phase of business dataization and open sharing of data. The next step is to operate and manage data assets and share the data The second stage of the value discovery. Faced with the rise of the national big data industrial park, and the nation's digital economy and the great opportunities for digital transformation, how can cities continue to lead? To advance the work of big data to a new stage, the author summarizes the following strategies for reference:

1 ) Big data development 2.0 , from data sharing to data product construction

"Promoting Big Data Development Platform for Action" that before the end of 2017, "the formation of an inter-departmental data sources to share a common pattern," before the end of 2018, "the completion of the national government data unified and open platform"; "government information systems integration sharing plan" clearly, 2018 Before the end of June, "preliminarily realize the interconnection of the information system between the State Council departments and local governments"; " Guiding Opinions on the Promotion of" Internet Government Services "" pointed out that before the end of 2020 , "complete linkages, departmental coordination, provincial coordination, " Internet Government Affairs Service System" handled by one network . However, there is still much room for improvement in the dimensions of data sharing platform convergence, unified data open standards, timeliness of data, and deep application of data resources.

The "2018 Report on the Opening of Local Government Data in China" was published on the "Data Opening and Innovative Development of Local Government" Forum of the 2018 Digital Expo. Data openness index , Guiyang ranked first with 85.96 points, platform level index , Guiyang ranked first with 89.90 points , readiness index , Guiyang ranked first with 89.8 points , and the report also called for governments to increase the intensity, breadth and depth of government data opening In order to strengthen the system supply , create a favorable environment , enhance the platform experience , and open high-quality data, we have put forward a series of suggestions for China's government data opening work.


However, from the perspective of ordinary people or enterprises, did not deeply feel the value of data openness, why? The author believes that it is a data product that does not make any visible and tangible, and the data product solidifies the data, data model and analysis decision logic into a software system as much as possible, so as to be more automated, more accurate and more accurate. Intelligent way to play the decision value of data. Data products often have universal applicability within a certain range, and the customer base is more extensive. It is also easy to reflect the effectiveness of work. The number of customers has a greater impact on revenue growth and higher requirements for large-scale replication. Therefore, the value of data products wins wide rather than deep. This requires a high degree of sensitivity to the business of the target customer group during product design, so as to meet the urgent needs first, and abstract the diverse data needs into a point that can meet the scattered needs.

Therefore, every local government should establish a data product strategy to release data value efficiently and safely!

2 ) Big data development 2.0 , from big data to intelligence;

With the continuous accumulation of big data, big data can now help companies manage intelligently, can use data analysis to visually examine the development of enterprises, and can better analyze development strategies through big data. Platform-based enterprises are constantly expanding the ecological chain, expanding data acquisition, and applying more artificial intelligence algorithms, making the intelligent soil more and more fertile. The author believes that intelligent construction is more testing of technical capabilities and platform capabilities than big data. Xu Hao, member of the Standing Committee of Guiyang Municipal Party Committee and executive deputy mayor, once said: "Our goal is very clear, that is, to develop artificial intelligence as a starting point to promote big data integration The construction of an innovation ecosystem, giving full play to the advantages of the first trial in the National Big Data Comprehensive Pilot Zone, will build Guiyang into a new high ground for China's artificial intelligence industry and contribute 'Guiyang experience' to China's national artificial intelligence strategy.

Yes, intelligence is the next stage in the development of big data. Recently, Tianjin, Guangzhou, Hefei, Chongqing, and Beijing have successively issued policies to develop intelligent strategies. Talent, taxation, and land use policies are very enticing and are very good for entrepreneurs. Motivation. However, the development of intelligence is far more complicated than dataization, mainly due to the complexity of technology. Li Xiuquan, an expert in artificial intelligence planning at the Ministry of Science and Technology, once had a view on the development of artificial intelligence. He said that the development of artificial intelligence should be based on artificial breakthroughs. The main theoretical bottleneck of intelligent application is the focus. The advanced layout may trigger the basic research of artificial intelligence paradigm change and promote the interdisciplinary integration. Basic theory research This is not as simple and easy as data collection, data management, data analysis, and data visualization. More importantly, there is a breakthrough in basic theory. Therefore, in the author's opinion, the development of intelligence is a competition of basic science and technology ecology. Xi'an, Beijing, Shanghai, and Wuhan have great advantages. Guiyang needs to pay attention to the development of education and foresight before it can continue to lead.

Therefore, if the development of big data 1.0 is a development result represented by more application cases.

So the development of big data 2.0 is intelligent, it should be based on the data collection, the basic idea of artificial intelligence research.

At the same time, it also establishes intelligent industry applications, such as AI transportation, AI finance, AI medical treatment, AI security, and AI home, which will promote the integration and development of artificial intelligence and other industries in the future. The formation of an intelligent industrial ecological chain.

3 ) From internal interconnection to industrial interconnection

The development of big data 3 integration and 5 crosses is a guiding strategy, which is very good. The construction of big data effectively drives the value discovery of internal data, but it has not yet promoted the sharing of data between industries. Mr. Yaxin Tianxuning once mentioned The concept of the industrial Internet is very valuable. Industrial interconnection is not only the internal Internet of the enterprise, but also through network penetration in various links such as R & D, production, trading, circulation and financing, so as to achieve improved efficiency, optimize resource allocation, and more The Internet is connected to the Internet, linking upstream and downstream, and standing in the industrial perspective. Help enterprises reshape their core competitiveness. The current data opening is more based on the opening within the enterprise, intergovernmental, and industry, and the next step is industrial interconnection, and upstream and downstream enterprises in the industrial chain, which can be carried out from four major areas of production, sales and circulation, financing, and delivery. analysis. Therefore, the sharing of circulation value between data industries will become an important content in the next stage. Who can establish a data sharing platform for the industrial Internet, and who will become a leader in realizing the value of industrial data like Baidu.

4 ) From data benefits to data management

Data is first open to serve the people, and second is to provide a basis for management decisions and provide solutions for the current government governance.

Data management is a big topic. It is difficult. It is easy for data to benefit the people, but data management is difficult, because management is top-down. Data reflects the business, provides advice to people, and then guides the business after adoption. Now let data directly manage the business, which needs to reshape the business process, this is the transformation of government functions, the transformation of government governance model in the era of big data, the State Taxation Shaanxi Administration of Taxation has a very good data tariff exploration, it is worth learning if Guiyang can explore some cases here to provide Guiyang data governance government solutions, which will be a great contribution.

5 ) From business leadership to technology leadership

The chairman of a company where a friend of mine is located has proposed to halve 7,000 offline loan business personnel and cut 3500 people, such as looking for customers, telephone communication, collecting customer loan materials, credit evaluation, issuing loans, risk control , Repayment and other tasks are all implemented using online technology, and make the business process more convenient, faster and lower risk. The company began to realize that IT serves the business and is the cost center, while DT needs to lead the business and become the profit center. This technological change is a deep change, and it is to use various algorithm models to drive business change for the future. Competition lays the foundation. This kind of thinking change, the change of concept is very challenging, and it is also the core of developing big data in the next stage, so that the value of data technology can be truly released into the business.

6 ) From investment promotion to investment promotion

Investment promotion is an important starting point to promote local economic development. However, as China's economic development enters a new normal and new changes in the investment environment, the government's investment attraction is also facing unprecedented challenges. Ma Yun once said that in the past, investment promotion relied on preferential policies of taxation, land and three links and one leveling. Future investment promotion needs big data support. Relying on ecological construction and investment promotion, the author believes that the investment promotion work is to do FA , which is angel investment, investment needs skills, and the staff of the China Merchants Bureau is the investment department of the government.

7 ) Vigorously promote the application of emerging technologies and project implementation of advantageous industries in the region


Accelerating the cultivation and development of strategic emerging industries is an inevitable requirement for accelerating the transformation of economic development mode. It has become a benchmark and a torchbearer for accelerating the transformation of economic development mode nationwide, and promoting sustainable economic and social development is of great strategic significance. But not all cities have finally become the beneficiaries of the development of new industries. All cities are engaged in guiding technology transfer centers, technology innovation service centers, technology business incubation bases, national university science parks, productivity promotion centers, various big data, blocks Chain, artificial intelligence, Internet of Things development policy guidance, professional operation, platform support, provide companies with more professional entrepreneurial consulting, technology consulting, technology transfer and investment and financing services, and then what is the final income? The author believes that economic development has its own laws, and the development of various regions should also have their own connotations. On the one hand, they must be endogenous growth, and on the other hand, they must be extended. But the fundamental is still the ability of the dominant industries in the region to use emerging technologies to ensure the original superior industries.



Zhang Hancheng (WeChat: waynezhanghc ) research areas mainly include: Introduction to Big Data Basics, Big Data Application Practices in Enterprises and Governments, Business Models for Data-Driven Business Transformation, Medical Big Data Operation System, Finance and Tax Data, Customs Big Data, Operator Big data construction plan, tourism big data platform construction plan, data asset management, big data industry ecological analysis, data transaction market, blockchain, artificial intelligence and other new technologies are the value and empowerment solutions for traditional enterprises. Welcome to contact me for training through Peking University Innovation Review.


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